Build and maintain the MLOps platform that deploys, monitors, and scales AI workloads on CoreWeave’s high-performance cloud infrastructure.
Compensation
Not disclosed
Location
London, UK
Work setup
Not specified
Seniority
Not specified
Employment
Not specified
Experience
6+ years
Category
Devops
Posted
Skills
ai
automation
backbone
ci-cd
cloud
cloud-native
data-science
devops
distributed-training
gdpr
gpu
infrastructure-as-code
kubernetes
machine-learning
mlops
observability
python
saas
sre
time-series
Must have
5–6+ years of professional experience in MLOps, ML platform engineering, ML infrastructure, or SRE/DevOps for production machine learning systems.
Proven experience building, operating, and automating production ML pipelines covering experiment tracking, model registries, artifact versioning, dataset management, and deployment workflows.
Deep hands-on experience implementing observability for ML systems, including monitoring inference availability, latency, throughput, GPU/resource utilization, and data or model drift.
Strong background in reliability engineering, including defining operational SLOs, writing runbooks, building automated remediation, and managing incident response for ML workloads.
Proficient in Python for platform tooling, infrastructure integration, and pipeline automation, alongside strong infrastructure-as-code and CI/CD practices.
Comfortable operating containerised, cloud-native environments using Kubernetes and public cloud platforms.
Excellent technical communication and cross-functional collaboration skills, with a track record of bridging data science and platform engineering teams.
Nice to have
Experience as an early or founding MLOps engineer establishing ML platform architecture, standards, and operating models from the ground up.
Hands-on experience operating ML workloads on Kubernetes with GPU infrastructure, distributed training, or large-scale inference engines.
Experience with ML platforms handling test, simulation, or time-series data (e.g., physical test benches, battery labs, automotive/aerospace R&D) within multi-tenant SaaS environments.
Full description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at .
We're proud to be a Living Wage accredited Employer.
What You'll Do:
CoreWeave’s Physical AI Platform Engineering team builds and scales the data and workflow backbone powering advanced engineering simulation and AI workflows. Our ambition is to become the super-intelligent AI test lab for the engineering industry, delivering the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.
About the role:
As an MLOps Engineer on the Physical AI team, you will serve as the hands-on owner for our machine learning operations surface across the end-to-end model lifecycle—from experimentation and training through to packaging, deployment, serving, and retirement. You will define and roll out MLOps practices, establish operational SLOs/SLAs, and build automated CI/CD and continuous training pipelines to accelerate the path from experiment to supported production deployment. In this role, you will implement comprehensive model observability, data versioning, and drift monitoring while ensuring robust security and governance controls. Additionally, you will partner closely with product, data science, and core infrastructure teams to optimize GPU compute utilization, resolve cross-boundary platform incidents, and mentor engineers on production-grade ML practices.
Who You Are:
5–6+ years of professional experience in MLOps, ML platform engineering, ML infrastructure, or SRE/DevOps for production machine learning systems.
Proven experience building, operating, and automating production ML pipelines covering experiment tracking, model registries, artifact versioning, dataset management, and deployment workflows.
Deep hands-on experience implementing observability for ML systems, including monitoring inference availability, latency, throughput, GPU/resource utilization, and data or model drift.
Strong background in reliability engineering, including defining operational SLOs, writing runbooks, building automated remediation, and managing incident response for ML workloads.
Proficient in Python for platform tooling, infrastructure integration, and pipeline automation, alongside strong infrastructure-as-code and CI/CD practices.
Comfortable operating containerised, cloud-native environments using Kubernetes and public cloud platforms.
MLOps Engineer at CoreWeave Europe (London, UK) — aijobsearch
Excellent technical communication and cross-functional collaboration skills, with a track record of bridging data science and platform engineering teams.
Preferred:
Experience as an early or founding MLOps engineer establishing ML platform architecture, standards, and operating models from the ground up.
Hands-on experience operating ML workloads on Kubernetes with GPU infrastructure, distributed training, or large-scale inference engines.
Experience with ML platforms handling test, simulation, or time-series data (e.g., physical test benches, battery labs, automotive/aerospace R&D) within multi-tenant SaaS environments.
Wondering if you're a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
You love to make the path from ML experiment to production reliable, reproducible, and effortless to operate.
You're curious about mapping complex system interactions between data, models, and GPU infrastructure to design for rapid recovery.
You're an expert in establishing MLOps best practices, automating model delivery pipelines, and mentoring data scientists on production readiness.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results.
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
Family-level Medical Insurance
Family-level Dental Insurance
Generous Pension Contribution
Life Assurance at 4x Salary
Critical Illness Cover
Employee Assistance Programme
Tuition Reimbursement
Work culture focused on innovative disruption
Benefits may vary by location.
Equal Opportunity
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
Recruitment Agencies
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
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Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
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